Research Article

Genome wide Association Analysis of Flowering Time in Brassica campestris  

Jianxia Jiang1 , Yanli Li1 , Meiyan Jiang1 , Jifeng Zhu1 , Xirong Zhou1 , Weirong Wang1 , Chun Shen2 , Junying Zhang1 , Liyong Yang1
1 Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
2 Qingpu Agrotechnology Extension Service Center, Shanghai, 201700, China
Author    Correspondence author
Molecular Plant Breeding, 2020, Vol. 11, No. 7   doi: 10.5376/mpb.2020.11.0007
Received: 14 Jun., 2020    Accepted: 30 Jun., 2020    Published: 25 Jul., 2020
© 2020 BioPublisher Publishing Platform
This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Jiang J.X., Li Y.L., Jiang M.Y., Zhu J.F., Zhou X.R., Wang W.R., Shen C., Zhang J.Y., and Yang L.Y., 2020, Genome-wide association analysis of flowering time in Brassica campestris, Molecular Plant Breeding, 11(7): 1-11 (doi: 10.5376/mpb.2020.11.0007)

Abstract

In order to locate candidate genes related to flowering time, and to provide a basis for genetic improvement and flowering time of Brassica campestris, a natural population composed of 110 B. campestris was used as research materials. Flowering investigation and resequencing were performed on them. The high-quality SNP set obtained by resequencing was used for population evolutionary tree analysis, principal component analysis, population genetic structure analysis and a genome-wide association analysis. The observation results showed there were wide differences in flowering time between different types of B. campestris. The results of population structure analysis showed that 110 materials could be divided into two subgroups. The distribution within each phylogenetic tree was relatively concentrated, and the distribution between different subgroups was closely related to the geographical origin of the material. Genome-wide association analysis revealed that the average LD of the whole B. campestris attenuated LD was 19 kb, and 4 signal sites significantly associated with the flowering schedule type were obtained. Functional annotation was performed on related genes in a certain region upstream and downstream of the physical location of the four associated candidate sites, and 9 candidate transcripts related to flowering time were screened. Further analysis revealed that 9 transcripts contained a total of 4 candidate genes, which were homologous genes of Arabidopsis LOL1, CAT5 and FAD8. The results of this study could provide some theoretical basis and clues for obtaining candidate genes related to flowering time of B. campestris and using them to regulate flowering and genetic improvement.

Keywords
Brassica campestris; Flowering time; Linkage disequilibrium; Genome wide association study; Candidate gene
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